{"id":"W3203951545","doi":"10.2196/33192","title":"A Patient-Screening Tool for Clinical Research Based on Electronic Health Records Using OpenEHR: Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Major Project","keywords":"Computer science; SQL; Information retrieval; Health records; Health informatics; Data mining; Data science; Medicine; Database; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02894604,0.0003246782,0.00103942,0.0003325531,0.002176715,0.00004581037,0.0005194122,0.0006242751,0.0004964733],"category_scores_gemma":[0.004662898,0.000281209,0.0001517466,0.0009571884,0.0001123359,0.0002114005,0.0003816418,0.004606796,0.0001981184],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586968,"about_ca_system_score_gemma":0.04545453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001396232,"about_ca_topic_score_gemma":0.0008422633,"domain_scores_codex":[0.9833942,0.005035236,0.005181077,0.0004596749,0.002881475,0.003048311],"domain_scores_gemma":[0.9905199,0.005529195,0.0009529137,0.000893072,0.00103497,0.001069957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001247857,0.004257668,0.103953,0.006550019,0.0002952281,0.00004685591,0.0501836,0.00007702333,0.00000154353,0.001059647,0.08955028,0.7427772],"study_design_scores_gemma":[0.01054055,0.007598678,0.006269702,0.004734926,0.0000202443,0.00001645952,0.05175878,0.1592621,0.00001201905,0.00009106848,0.7590183,0.0006772068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330488,0.0002616427,0.04326472,0.004728411,0.001909237,0.01473831,0.00002423794,0.0002425884,0.001782037],"genre_scores_gemma":[0.8743122,0.0002887717,0.06934119,0.04342408,0.002112471,0.008458239,0.0003566771,0.0002426741,0.001463702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7421,"threshold_uncertainty_score":0.999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.362564778324046,"score_gpt":0.6035391281251457,"score_spread":0.2409743498010997,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}